| A novel algorithm for dynamic clustering: properties and performance NA Barbosa, L Travé-Massuyès, VH Grisales 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 13 | 2016 |
| Diagnosability improvement of dynamic clustering through automatic learning of discrete event models NA Barbosa, L Travé-Massuyès, VH Grisales IFAC-PapersOnLine 50 (1), 1037-1042, 2017 | 7 | 2017 |
| A data-based dynamic classification technique: A two-stage density approach N Barbosa, LT Massuyes, VH Grisales SAFEPRO-CESS 2015, Proceedings of the 9th IFAC Symposium on Fault Detection …, 2015 | 7 | 2015 |
| Trend-Based Dynamic Classification for On-Line Diagnosis of Time-Varying Dynamic Systems N Barbosa, L Travé-Massuyès, VH Grisales 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical …, 2015 | 3 | 2015 |
| TWO DIFFERENT APPROACHES FOR GENE EXPRESSION MODEL CONTROL NA Barbosa, H DÍAZ, A Ramirez International Symposium on Mathematical and Computational Biology 7, 153-177, 2011 | 1 | 2011 |
| Data stream clustering for tracking dynamic and changing environments N BARBOSA ROA, L TRAVE-MASSUYES, VH GRISALES LAAS, 2015 | | 2015 |
| Online data stream clustering: proposal N BARBOSA ROA, L TRAVE-MASSUYES, VH GRISALES LAAS, 2014 | | 2014 |
| Data stream clustering methods: a review N BARBOSA ROA, L TRAVE-MASSUYES, VH GRISALES LAAS, 2014 | | 2014 |
| Data Stream Clustering Methods: A Review NA Barbosa, L Travé-Massuyès, VH Grisales | | 2014 |
| Online Data Stream Clustering: Proposal NA Barbosa, L Travé-Massuyès, VH Grisales | | 2014 |
| A SENSITIVITY ANALYSIS OF GENE EXPRESSION MODEL NA BARBOSA BIOMAT 2012 8, 364-375, 2012 | | 2012 |
| Dynamic Clustering as a Tool for Monitoring Evolving Systems NA Barbosa, L Travé-Massuyès, VH Grisales | | |
